Faculty Opinions recommendation of Riboswitching on RNA virus replication.
Bibliographic record
Abstract
Positive-strand RNA viruses direct different virus-specific processes during their infection of host cells. Fundamental events such as viral RNA genome replication are controlled by viral regulatory RNA elements (REs). Here, we have investigated the possibility of specifically modulating the action of a viral RE using RNA aptamer technology. Through rational design, a tombusvirus RE, which has the structure of a perfect RNA stem loop in the plus-strand RNA genome, was replaced with a theophylline-binding RNA aptamer sequence, an imperfect stem loop. The aptamer-RE hybrid was designed so that, upon binding theophylline, it would become more stable and structurally mimic the functional RE (i.e., represent a ligand-inducible RE riboswitch). Initial experiments were conducted with a small noncoding virus genome-derived RNA replicon, and the results showed that replication was inducible, up to approximately 10-fold, in a theophylline-specific and dose-dependent manner. A similar level of theophylline-dependent induction was also observed when a full-length viral genome containing an RE riboswitch was tested. Analysis of this engineered viral genome revealed that this RE, located in the 5' untranslated region, specifically mediates efficient accumulation of plus-strands of the virus genome. Therefore, in addition to allowing for modulation of virus reproduction, the RE riboswitch system also provided insight into RE function. The ability to chemically induce a viral process via modulation of virus genome structure could be useful for basic and applied aspects of research. PMID: 17553958
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.408 | 0.230 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".